BSF vs Taastrup: result 0-4 and analysis
Denmark Series - Group 1Regular Season - 18Kick-off on April 25, 2015 at 11:00 AM (UTC)Ballerup Idrætspark, Ballerup
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What was the result of BSF vs Taastrup?
Taastrup won 0-4 on April 25, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, BSF have 4 wins, 7 draws and 4 defeats; Taastrup have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 19, 2015 | NB Bornholm(away) | 2-0 | Denmark Series - Group 1 |
| Apr 11, 2015 | AB Tårnby(home) | 0-2 | Denmark Series - Group 1 |
| Apr 6, 2015 | Skjold Birkerød(away) | 4-0 | Denmark Series - Group 1 |
| Mar 28, 2015 | SC Egedal(home) | 1-1 | Denmark Series - Group 1 |
| Nov 8, 2014 | Greve(home) | 3-3 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2015 | Kastrup(home) | 2-1 | Denmark Series - Group 1 |
| Apr 11, 2015 | Fredensborg BI(away) | 0-1 | Denmark Series - Group 1 |
| Apr 6, 2015 | Jægersborg(home) | 3-3 | Denmark Series - Group 1 |
| Mar 28, 2015 | KFUM Roskilde(away) | 4-0 | Denmark Series - Group 1 |
| Nov 8, 2014 | Vanløse(away) | 4-0 | Denmark Series - Group 1 |
What does the head-to-head say?
In the last meeting: 0 BSF wins, 1 draw, 0 Taastrup wins.
| Date | Score | Competition |
|---|---|---|
| Sep 13, 2014 | Taastrup 1-1 BSF | Denmark Series - Group 1 |
How many goals should we expect?
BSF score 1.3 and concede 1.3 goals per match over their last 15; Taastrup score 2.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BSF | 1.3 | 1.3 | 4 | 9/15 | 5/15 |
| Taastrup | 2.1 | 1.7 | 2 | 12/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about BSF vs Taastrup?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy